Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	c71c
authors	Li, Jian Cheng
year	1996
title	Study on Computer-aided Design of Shading Device of a Building
doi	https://doi.org/10.52842/conf.caadria.1996.143
source	CAADRIA ‘96 [Proceedings of The First Conference on Computer Aided Architectural Design Research in Asia / ISBN 9627-75-703-9] Hong Kong (Hong Kong) 25-27 April 1996, pp. 143-151
summary	The design of shading device is an important aspect of architectural heat-prevent design in sub-tropical climates of China. There is a large amount of calculation how to choose suitable style and size of shading device for various window in each exposure of a building, for the aim of both sheltering from sunlight indoors and preserving proper sun-shining time in a room. The solution of the calculation for the design of shading device is presented in this paper.
series	CAADRIA
last changed	2022/06/07 07:59

_id	ecaade2022_196
id	ecaade2022_196
authors	Li, Jiaqi, Lo, Tian Tian, Guo, Xiangmin and Chen, Fukai
year	2022
title	Integrating XR and Tangible Model to Enhance Old Building Renovation Design
doi	https://doi.org/10.52842/conf.ecaade.2022.2.207
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 207–216
summary	The renovation of old buildings usually has complex site constraints, involves multiple interests, and has limited capital costs. Therefore, the transformation process has always encouraged the participation of stakeholders to improve the effectiveness of the design. Tangible user interfaces (TUIs) consisting of physical models further simplify the operation. However, most designs are displayed by projection, which cannot provide a realistic interactive experience. Extended Reality (XR) technology has the advantages of interactivity and clear visualization. We developed a participatory renovation tool using XR technology and tangible models. We invited the owner to view the 3D design proposal in HoloLens and then use the tangible model to discuss the renovation design. This experiment proves that the system can realize on-site 3D visualization, allowing the public to design in a real environment and intuitively interact with the virtual and the real. Using the participatory design method of XR technology + tangible model will provide a convenient platform for the renovation of old buildings with the collaborative participation of stakeholders.
keywords	Building Renovation Design, Participatory Design, Extended Reality, Tangible Model, HoloLens
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2024_166
id	caadria2024_166
authors	Li, Jinmin, Luo, Yilu, Lu, Shuai, Zhang, Jingyun, Wang, Jun, Guo, Rizen and Wang, ShaoMing
year	2024
title	ChatDesign: Bootstrapping Generative Floor Plan Design With Pre-trained Large Language Models
doi	https://doi.org/10.52842/conf.caadria.2024.1.099
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 99–108
summary	Large language models (LLMs) have achieved remarkable success in various domains, revolutionizing tasks such as language translation, text generation, and question-answering. However, generating floor plan designs poses a unique challenge that demands the fulfilment of intricate spatial and relational constraints. In this paper, we propose ChatDesign, an innovative approach that leverages the power of pre-trained LLMs to generate floor plan designs from natural language descriptions, while incorporating iterative modifications based on user interaction. By processing user input text through a pre-trained LLM and utilizing a decoder, we can generate regression parameters and floor plans that are precisely tailored to satisfy the specific needs of the user. Our approach incorporates an iterative refinement process, optimizing the model output by considering the input text and previous results. Throughout these interactions, we employ many strategic techniques to ensure the generated design images align precisely with the user's requirements. The proposed approach is extensively evaluated through rigorous experiments, including user studies, demonstrating its feasibility and efficacy. The empirical results consistently demonstrate the superiority of our method over existing approaches, showcasing its ability to generate floor plans that rival those created by human designer. Our code will be available at https://github.com/THU-Kingmin/ChatDesign.
keywords	floor plan generation, large language models, user interactions, automatic design, deep learning, pre-train models
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2024_465
id	caadria2024_465
authors	Li, Jinze, Song, Zhehao, Wen, Jian, Cai, Chenyi and Tang, Peng
year	2024
title	Exploring Nonlinear Relationship Between Built Environment and Street Vitality Using Machine Learning: A Case Study of Ding Shu, China
doi	https://doi.org/10.52842/conf.caadria.2024.2.375
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 375–384
summary	Urban vitality serves as the linchpin for sustainable urban development. Being the most extensively utilized public space within cities, augmenting street vitality bears paramount importance in accelerating design in human-centric habitats. This study employs spatial analysis and machine learning methods to explore the potential nonlinear relationships and local threshold effects between the built environment (BE) and street vitality based on multi-source data. This investigation provides support for the quantitative assessment and optimization of street vitality. Initially, using collected street view images, street spatial elements are extracted through deep learning algorithms. Subsequently, integrating multiple data sources, machine learning methods are employed to quantify the impact and interactions of the built environment on street vitality. Illustrated with the case of Dingshu, the feasibility of this process is demonstrated. By examining the correlation and underlying mechanisms between the built environment and street vitality, this study aids decision-makers in leveraging technological means to expedite design processes and create human-centric cities.
keywords	Nonlinear Relationship, Built Environment, Street Vitality, GBDT-SHAP, Interaction Effect
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2024_88
id	caadria2024_88
authors	Li, Jiongye and Stouffs, Rudi
year	2024
title	Convolutional Neural Network-Based Predictions of Potential Flash Flood Hotspots in Singapore: Insights and Strategic Interventions
doi	https://doi.org/10.52842/conf.caadria.2024.2.069
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 69–78
summary	Amid increasing urbanization, changing climate, and limited stormwater infrastructure, urban flooding is a global issue, and Singapore is no exception. Traditional identification of flood-prone areas in Singapore has relied on historical flash flood data. However, by applying the booming influx of big data across various domains, including geography, weather, and DEM data, and using the deep learning model, Convolutional Neural Network (CNN), this research proposes a method that can accurately and effectively predict flash flood spots in an urban environment. Specifically, datasets including elevation, slope, aspect, rainfall, canals, drainage, and land use are fed into the CNN model to predict the locations of flash floods. The model, with a testing accuracy of 0.962, generates a comprehensive flash flood assessment map identifying high-risk areas in Singapore. Contrary to the current flood-prone area identification, which classifies only 0.79% of the country as susceptible to flash floods based on historical events, our CNN model-based assessment indicates that 11.4% of the country is at high risk. These newly identified zones are predominantly located along the coastline and in low-lying watershed outlets. Additionally, we propose corresponding stormwater infrastructure enhancements to mitigate flash flooding in these locations.
keywords	flash floods, flood prediction, convolutional neural network, geospatial data, flash flood assessment map, stormwater management measures
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2024_87
id	caadria2024_87
authors	Li, Jiongye and Stouffs, Rudi
year	2024
title	Distribution of Carbon Storage and Potential Strategies to Enhance Carbon Sequestration Capacity in Singapore: A Study Based on Machine Learning Simulation and Geospatial Analysis
doi	https://doi.org/10.52842/conf.caadria.2024.2.089
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 89–98
summary	The expansion of urbanization leads to significant changes in land use, consequently affecting carbon storage. This research aims to investigate the carbon loss due to land use alterations and proposes strategies for mitigation. Utilizing existing land use data from 2017 and 2022, along with simulated data for 2025 generated by an ANN model and Cellular Automata, we identified changes in land use. These changes were then correlated with variations in carbon storage, both gains and losses. Our findings reveal a significant loss of 36,859 metric tons of carbon storage from 2017 to 2022. The projection for 2025 estimates a further reduction, reaching a total loss of 83,409 metric tons. By employing the LISA method, we identified that low-carbon storage zones are concentrated in the southeast region of the research site. By overlaying these zones with areas of carbon storage loss, we pinpointed regions severely affected by carbon depletion. Consequently, we propose that mitigation strategies should be imperatively implemented in these identified areas to counteract the trend of carbon storage loss. This approach offers urban planners a solution to identify areas experiencing carbon storage decline. Moreover, our research methodology provides a novel framework for scholars studying similar carbon issues.
keywords	land use and land cover (LULC) changes, simulated LULC, machine learning model, carbon storage changes, GIS
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2023_347
id	caadria2023_347
authors	Li, Keke, Wu, Hao, Ding, Xiangwen, Li, Haowei and Yuan, Philip F.
year	2023
title	Bespoke 3D Printed Chair: Research on the Digital Design and Fabrication Method of Multi-Body Pose Fusion
doi	https://doi.org/10.52842/conf.caadria.2023.1.169
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 169–178
summary	Customization has become a vital part of the post-industrial production model. Traditional production methods struggle with the challenge of collecting large amounts of data and the high costs of customization. With advancements in big data and deep learning algorithms, it is now possible to reduce the difficulty and cost of data collection, resulting in more accurate individual customization. This paper presents a proposed workflow for customizing multi-position seating for individuals. Using deep learning algorithms such as OpenPose and parametric design platforms such as Grasshopper, the workflow transforms user-generated photos of the body into a seating model that fits corresponding positions. This process combines deep learning algorithms, simplifies the data collection and processing process, and provides an interface for user interaction on the Grasshopper platform. The workflow provides a comprehensive example of data-driven customization in the context of big data. It explores the potential of a new paradigm in digital design where data is the primary driving force.
keywords	Customization, Posture recognition, Multi-platform collaboration, Deep Learning, Workflow
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	acadia23_v3_241
id	acadia23_v3_241
authors	Li, Leyuan
year	2023
title	Wall-Table-Bed
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	“Wall-Table-Bed” is an exhibition installation devised for this year’s ACADIA conference (Figure 1). It comprises nine movable and operable panels that create a malleable exhibition venue to showcase thirty-two posters selected through a rigorous peer-reviewed process. It also functions as a temporal device of enclosure, constructing a series of threshold conditions to engage events and activities at divergent scales and locations. The exhibition was first housed at the Jake Jabs Center during the conference and then relocated to outdoor and indoor public spaces in Denver to further its engagement with students and community stakeholders.
series	ACADIA
email
last changed	2024/04/17 14:00

_id	caadria2014_071
id	caadria2014_071
authors	Li, Lezhi; Renyuan Hu, Meng Yao, Guangwei Huang and Ziyu Tong
year	2014
title	Sculpting the Space: A Circulation Based Approach to Generative Design in a Multi-Agent System
doi	https://doi.org/10.52842/conf.caadria.2014.565
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 565–574
summary	This paper discusses an MAS (multiagent system) based approach to generating architectural spaces that afford better modes of human movement. To achieve this, a pedestrian simulation is carried out to record the data with regard to human spatial experience during the walking process. Unlike common practices of performance oriented generation where final results are achieved through cycles of simulation and comparison, what we propose here is to let human’s movement exert direct influence on space. We made this possible by asking "humans" to project simulation data on architectural surroundings, and thus cause the layout to change for the purpose of affording what we designate as good spatial experiences. A generation experiment of an exhibition space is implemented to explore this approach, in which tentative rules of such spatial manipulation are proposed and tested through space syntax analyse. As the results suggested, by looking at spatial layouts through a lens of human behaviour, this projection-and-generation method provides some insight into space qualities that other methods could not have offered.
keywords	Performance oriented generative design; projection; multi-agent system; pedestrian simulation; space syntax
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2008_22_session3a_180
id	caadria2008_22_session3a_180
authors	Li, Li; Jingwen Gu, Jing Ma
year	2008
title	A solution of geometric security based on autoCAD
doi	https://doi.org/10.52842/conf.caadria.2008.180
source	CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 180-184
summary	There are numerous electronic blueprints used in engineering today. The geometric security of these blueprints is a big problem to be solved. Based on the research on CAD system mechanics, this paper gives a solution that makes geometric access and use secure,, and gives an implementation on AutoCAD system. It designs a new encryption system compatible with the built-in encryption according to the exploration of variants and commands mechanism in AutoCAD system, and the analysis of structure of drawing database. The solution provides a safe access to files for different level users, and it places the control of edit authority on special geometrics via adding customized objects which contains authority information and password to the graphic information database.
keywords	geometric security, order mechanism, customized object
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2007_113
id	caadria2007_113
authors	Li, Li; Jingwen Gu
year	2007
title	Research of the Multimedia Courseware Creation System Application in Architecture Education
doi	https://doi.org/10.52842/conf.caadria.2007.x.e7l
source	CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
summary	A new teaching model is constructed in the study, which can make students fully involved in the learning activity while keep the guidance from instructors. Compared with traditional courseware technology, it excels in following metrics:A framework to build multimedia courseware is constructed in the system, which helps instructors to customize their own courseware in a fast and convenient fashion _ The system can be used to build flexible knowledge structure and complicated information trees, which matches the practical architectural knowledge system and excels the traditional one-way flowing process_A flexible database is built within the system. The courseware created by this system can read from the database and take information out of the database at any time.
series	CAADRIA
last changed	2022/06/07 07:50

_id	acadia20_170
id	acadia20_170
authors	Li, Peiwen; Zhu, Wenbo
year	2020
title	Clustering and Morphological Analysis of Campus Context
doi	https://doi.org/10.52842/conf.acadia.2020.2.170
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 170-177.
summary	“Figure-ground” is an indispensable and significant part of urban design and urban morphological research, especially for the study of the university, which exists as a unique product of the city development and also develops with the city. In the past few decades, methods adapted by scholars of analyzing the figure-ground relationship of university campuses have gradually turned from qualitative to quantitative. And with the widespread application of AI technology in various disciplines, emerging research tools such as machine learning/deep learning have also been used in the study of urban morphology. On this basis, this paper reports on a potential application of deep clustering and big-data methods for campus morphological analysis. It documents a new framework for compressing the customized diagrammatic images containing a campus and its surrounding city context into integrated feature vectors via a convolutional autoencoder model, and using the compressed feature vectors for clustering and quantitative analysis of campus morphology.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2017_129
id	ecaade2017_129
authors	Li, Qinying and Teng, Teng
year	2017
title	Integrated Adaptive and Tangible Architecture Design Tool
doi	https://doi.org/10.52842/conf.ecaade.2017.1.619
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 619-628
summary	In this paper, we identified two majority issues of current CAAD development situating from the standpoint of CAAD history and the nature of design. On one hand, current CAAD tools are not adaptive enough for early design stage, since most of CAAD tools are designed to be mathematical correct. as we conducted a detailed survey of CAAD development history, we find out that most of the techniques of Computer-Aided Design applied into architecture are always adopted from engineering track. On other hand, the interaction between Architects/Designer and CAAD tools needs to be enhanced. Design objects are operated by 2d based tools such as keyboard, mouse as well as monitors which are less capable of comprehensively representing physical 3D building objects. In addition, we proposed a working in progress potential solution with HCI approaches to fix these issues. We summarize that , the prototype proved that architects and designers could benefit from utilizing adaptive and tangible design tools, especially during massing studies in the early phases of architectural design.
keywords	CAAD development,; Human Computer Interaction; Tangible User Interfaces; Design Tool development; Design Process
series	eCAADe
email
last changed	2022/06/07 07:59

_id	5b5d
authors	Li, S.-P., Frazer, J.H. and Tang M.-X.
year	2000
title	A Constraint Based Generative System for Floor Layouts
doi	https://doi.org/10.52842/conf.caadria.2000.441
source	CAADRIA 2000 [Proceedings of the Fifth Conference on Computer Aided Architectural Design Research in Asia / ISBN 981-04-2491-4] Singapore 18-19 May 2000, pp. 441-450
summary	This paper presents the current study of using a constraint based approach to solve floor layout problems. Nonlinear programming technique is used for the solution searching. This paper presents the authors' attempt to improve the nonlinear programming techniques for floor layout problems. Unlike most nonlinear programming systems, multiple optimized solutions can be provided with this system. The process of solving a layout problem, from constraint specification to solution searching, is described in detail. A case study is given in the last section before the conclusions to illustrate how the proposed model works.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	4109
authors	Li, Shu-Xiang and Leow, Murray H.
year	1987
title	The Quadcode and its Arithmetic
source	Communications of the ACM. July, 1987. vol. 30: pp. 621-626 : ill. includes bibliography
summary	The quadcode is a hierarchical data structure for describing digital images. It has the following properties: (1) straightforward representation of dimension, size, and the relationship between an image and its subsets; (2) explicit description of geometric properties, such as location, distance, and adjacency; and (3) ease of conversion from and to raster representation. The quadcode has applications to computer graphics and image processing because of its ability to focus on selected subsets of the data and to allow utilization of multiple resolutions in different parts of the image. A related approach is the quadtree. Samet recently presented a thorough survey of the literature in that field. Gargantini and Abel and Smith presented linear quadtrees and linear locational keys that are efficient labeling techniques for quadtrees. In those papers the geometric concepts of the image are discussed by using the tree as an interpretive medium, and the approaches and procedures are based on traversal of the nodes in the tree. In this paper the authors present the quadcode system, which is a direct description of the image, and discuss the geometric concepts in terms of the coded images themselves
keywords	quadtree, image processing, representation, computer graphics, search
series	CADline
last changed	2003/06/02 13:58

_id	caadria2022_195
id	caadria2022_195
authors	Li, Shuyang, Sun, Chengyu and Lin, Yinshan
year	2022
title	A Method of VR Enhanced POE for Wayfinding Efficiency in Mega Terminals of Airport
doi	https://doi.org/10.52842/conf.caadria.2022.1.079
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 79-88
summary	The airport is one of the most essential infrastructures of cities. An important issue of the airport design is that passengers must be able to find their way efficiently. Although the designers adopt the post-evaluation after the operation, it takes a long time to conduct the on-site wayfinding experiment, and the number of participants of the experiment is also limited. Moreover, conventional post-occupancy evaluation suffers from security control and quarantine inspection that can not be carried out in the field. We proposed a VR enhanced POE approach that carries out an online wayfinding experiment to obtain numerous and detailed data, which significantly improves the efficiency of the post-occupancy evaluation project, and is validated by an affordable small-scale on-site experiment. Meanwhile, the cause for low wayfinding efficiencies, such as the symmetric space, the ambiguous direction and the redundant information on signboards are found and corresponding optimization suggestions are presented. The following signage system optimization project conducted in the terminal is welcomed by the passengers according to monthly questionnaires.
keywords	Transportation Building, Post-Occupancy Evaluation, Digital Twins, Signage System Design, Wayfinding, Virtual Reality, Eye-Tracking, SDG 9.
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2023_238
id	caadria2023_238
authors	Li, Shuyang, Sun, Chengyu and Zou, Mingyan
year	2023
title	Indispensable Effects of Surrounding Avatars in VR-based Wayfinding Experiments
doi	https://doi.org/10.52842/conf.caadria.2023.2.431
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 431–440
summary	Virtual reality technologies facilitate the presentation of the indoor and outdoor environment, enabling researchers to conduct environmental behaviour experiments and evidence-based design research with great feasibility. However, most previous environmental behaviour research based on VR technologies did not consider the surrounding crowd, especially wayfinding-related research. Thus, from a human-centric perspective, the credibility of these studies will be greatly argued. Are the avatars indispensable in the virtual environment? To answer this question, we designed a comparative test including three scenarios: the virtual environment without avatars, data-driven avatars in the virtual environment, and agent-based avatars in the virtual environment. Taking the Satellite Terminal of Shanghai Pudong International Airport as a study case, we developed an online VR wayfinding experiment platform. 435 participants were invited to this experiment, their wayfinding performance will be recorded and then analysed and visualisation. The results demonstrate that the presence or absence of avatars significantly impacts the participants' decision-making time in virtual environments. Besides, the distribution and movement of avatars may affect the participants' wayfinding behaviour. This study highlights the importance of avatars in VR-based experiments and validates the feasibility of data-driven avatars replicating real-world crowds.
keywords	Metaverse, Virtual Reality, Avatars, Online Experiment, Wayfinding, Transportation Building
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	85db
authors	Li, Siu Pan Thomas and Will, Barry F.
year	1997
title	A Computer Based Evaluation Tool for the Visual Aspects in Window Design
doi	https://doi.org/10.52842/conf.caadria.1997.247
source	CAADRIA ‘97 [Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8] Taiwan 17-19 April 1997, pp. 247-256
summary	Windows in buildings must respond to five major issues – daylight, sunshine, view, ventilation and sound. Each of these processes in its own way can be critical to the synthesis of a successful architectural design. All factors except view are engineering criteria that can be evaluated by some mathematical formulae provided there is sufficient information for the calculations. In contrast view” being a qualitative entity has difficulty in being measured by using conventional mathematical tools but it is probably the major factor that leads to the satisfaction and comfort of the users inside the building enclosure. This paper introduces a new approach in analyzing views by the use of computers. One of the advantages of this analysis process is that the psychological aspects are less biased in the end product. This paper explains the methodologies, theories and principles underlying these modeling and analyzing tools.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ijac20053405
id	ijac20053405
authors	Li, Siu-Pan; Kvan, Thomas
year	2005
title	Enhancing Interaction in Architectural Presentations with Laser Pointers
source	International Journal of Architectural Computing vol. 3 - no. 4, 503-517
summary	In a common meeting environment with projector-and-screen settings, the discussion may be dominated by a presenter who has the control of the content displayed. Although frequently used for architectural discussions, this digitally-engaged setting may not be optimal in its support of participation and discussion of design ideas. This paper presents a novel use of laser pointers to enhance the interaction in architectural presentations. A laser pointing system designed for a projector-and-screen environment was developed. To compare the performance of the laser pointer with other interaction devices, a controlled user study was carried out to test the efficiency of different devices in point-and-selection interactions. The usability of the system was also tested in a design critique. These two tests show that laser pointer is useful and able to encourage participation in group discussions. Details of the laser pointing system, the experiments and the results are reported in this paper.
series	journal
email
more	http://www.ingentaconnect.com/content/mscp/ijac/2006/00000004/00000001/art00002
last changed	2007/03/04 07:08

_id	ab84
authors	Li, Thomas S.P. and Will, Barry F.
year	1997
title	A Computer-Aided Evaluation Tool for the Visual Aspects in Architectural Design for High-Density and High- Rise Buildings
source	CAAD Futures 1997 [Conference Proceedings / ISBN 0-7923-4726-9] München (Germany), 4-6 August 1997, pp. 345-356
summary	The field of view, the nature of the objects being seen, the distances between the objects and the viewer, daylighting and sunshine are some major factors affecting perceived reactions when viewing through a window. View is one major factor that leads to the satisfaction and comfort of the users inside the building enclosure. While computer technologies are being widely used in the field of architecture, designers still have to use their own intelligence, experience and preferences in judging their designs with respect to the quality of view. This paper introduces an alternative approach to the analysis of views by the use of computers. The prototype of this system and its underlying principles were first introduced in the C A A D R I A 1997 conference. This paper describes the further development of this system where emphasis has been placed on the high- rise and high-density environments. Architects may find themselves facing considerable limitations for improving their designs regarding views out of the building under these environmental conditions. This research permits an interactive real-time response to altering views as the forms and planes of the building are manipulated.
series	CAAD Futures
email
last changed	2001/05/27 18:39

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